VLSI neural network implementation of a hippocampal model

Author

Sheu, Bing J. ; Berger, Theodore W. ; Wu, Tony H. ; Tsai, Richard H.

Author_Institution

Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA

Volume

3

fYear

1995

fDate

30 Apr-3 May 1995

Firstpage

1664

Abstract

As an important portion of the brain system, the hippocampus performs cognitive functions of learning and memory. VLSI implementation of a hippocampal model has been proposed and a mixed analog-digital chip which uses analog circuits for parallel computing and digital circuit for interconnection was designed. The design with one extensive hippocampal neuron has been sent for fabrication. One of the objectives of this research effort is to incorporate adequate biological constraints as possible into the hardware design

Keywords

CMOS integrated circuits; VLSI; brain models; medical computing; mixed analogue-digital integrated circuits; neural chips; parallel architectures; VLSI neural network implementation; brain system; cognitive functions; digital interconnection circuit; hippocampal model; mixed analog-digital chip; parallel computing; Analog circuits; Analog-digital conversion; Biological neural networks; Biological system modeling; Digital circuits; Hippocampus; Integrated circuit interconnections; Neural networks; Parallel processing; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on

Conference_Location

Seattle, WA

Print_ISBN

0-7803-2570-2

Type

conf

DOI

10.1109/ISCAS.1995.523730

Filename

523730